Tensor based dimensionality reduction has recently been extensively studied for computer vision applications. To our knowledge, however, there exist no rigorous error analysis on ...
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
We have developed a system to process database queries over composed data providing web services. The queries are transformed into execution plans containing an operator that invok...
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Most existing dynamic voltage scaling (DVS) schemes for multiple tasks assume an energy cost function (energy consumption versus execution time) that is independent of the task ch...